Enterprise Data Architect

Summary

Join EcoVadis' Enterprise Architecture team as a key contributor to sustaining the company's growth. You will play a vital role in shaping the future of data operations, building target architectures, and advising stakeholders on data platform capabilities. This position requires expertise in data platforms, multi-domain analytical architectures, and Databricks. You will define best practices, develop data models, and ensure a consistent framework across all stakeholders. The role involves strategic planning, stakeholder guidance, and continuous improvement initiatives. EcoVadis offers a competitive salary, hybrid work options, and various benefits.

Requirements

• Very good knowledge of data platforms in general, i.e. data warehouses, data lakes, lakehouses, BI tools, embedded analytics solutions
• Expertize in multi-domain analytical architectures, i.e. data mesh, medallion architecture, self-service analytics & BI
• Specific experience with Databricks is a must
• Experience with enterprise data models design, knowledge of various data modeling patterns, data engineering practices, data management standards i.e. DAMA
• At least 5 years focusing on architecture (any of: data architecture, solution architecture, enterprise architecture)
• Broad understanding of technical aspects of data integration, including data catalogs, data quality, solution maintainability, performance and security
• Practical experience with concepts such as MDM, RDM, CDP, ETL, ELT, rETL, SQL, noSQL, near-real time analytics
• Approach going beyond only technical components of architecture, but rather including people - process - technology as a whole
• Cloud expertise: Hands-on experience with cloud-native architectures and services is a must, experience with Azure services would be a plus
• Experience with all stages of SDLC - from building vision & strategy, through solution design, vendor selection process in some projects, technical design, leading workshops, assisting implementation teams & troubleshooting issues and driving solution adoption
• Good stakeholder management skills; proficiency in verbal and written communication; facilitation skills
• Pragmatic approach to governance & application portfolio rationalization
• Data Compliance and Ethics:data compliance frameworks (e.g., GDPR, CCPA, SOX) and ethical considerations in data usage and AI/ML model deployment
• Must be a team player, but with a high degree of self-organization
• Ability to mentor and guide teams, fostering a culture of technical excellence and innovation

Responsibilities

• Participate in building target architectures and long-term strategic roadmaps of Product & Transformation, together with our Solutions, Engineering and Information Systems teams; become the owner of Data Strategy on architecture side
• Advise business and technical stakeholders, both within and outside Data & Analytics, on self-service data platform capabilities and best practices to maximize value for the business
• Collaborate with Product Managers and Data Product Owners to ensure data products are designed for reusability, scalability, and self-service consumption
• Define best practices for the development, maintenance, and lifecycle management of data products
• Continuously improve our architecture governance practices, i.e. by leading and contributing to Design Authority, formalizing environments architecture, helping to grow devops culture, while staying in line with our Data Governance
• Develop and maintain policies, standards, and guidelines to ensure that a consistent framework is applied across all stakeholders of our data platform, both within Technology teams (Data & Analytics, Business Applications, Engineering, AI/ML, MLOps) and outside (function analytics within respective business functions, including functions working with sensitive data)
• Define and maintain Enterprise data models & domains and guide respective teams in implementing them
• Identify discrepancies between the technical architecture, agreed practices and systems designs proposed by project teams; applies to both internal tech teams and function analytics
• Monitor new technological advances and assists project teams in reducing technical debt
• Explore and validate new solutions in data platforms space, based on business requirements and/or own research
• Drive continuous improvement, explore, deliver Proof of Concepts, help driving adoption
• Partner with IT team members to ensure architecture aligns with security strategy/policies and to provide a consensus-based scalable and adaptable architectural solution
• Being part of D&A leadership

Preferred Qualifications

Relevant certifications (i.e. CDMP/DAMA, TOGAF, CIPP) would be a plus

Benefits

• Casual and very friendly work environment
• Hybrid work organization (from the office or from home)
• Home office allowance program
• IT equipment allowance
• Opportunity to work in a truly international atmosphere
• Base salary + variable compensation plan
• Meals and Transportation Vouchers (Cobee card)
• Health, Wellness, and Dental Benefits
• Life & Accident Insurance
• Unlimited and completely confidential sessions with psychologists and online well-being programs
• Employee referral bonus policy
• Paid employee volunteer day
• Paid moving day ( 1/year)
• 90 days Working from anywhere policy
• Virtual and in-person team-building events